TREK DIAGNOSTIC SYSTEMS LIMITED V3020 Sensititre AIM™

AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.

Camera Head with Integrated Coupler

-1588 AIM Camera -40L Highflow Insufflator -SDC3 -L9000 LED Light Source -32" 4K Surgical Display -Stryker Cart

Burr, Oval, 10 flute, 3.0mm

The Sensititre Autoinoculator 2, AIM™ instrument is an automated pipette system for the delivery of user prepared inoculated media in multiples of 50 and 100 µl into the Sensititre 96 well antimicrobial susceptibility plate. The AIM™ is a bench-top instrument which dispenses bacterial suspension (inoculum) into a 96-well plate (MIC panel). The instrument has a display which presents options to the user graphically. The user may then select the well dose volume (a multiple of 50 µl) specific to each panel section. Different panel sections may be dosed differently. After selection of these parameters, the user loads the inoculum tube, a suitable panel and then starts the dosing cycle. The AIM™ is a stand-alone device and requires no connections to other equipment in normal use. It currently provides no support for sample tracking.

AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.